Export model 'regnetx_004.pycls_in1k', on 2025-01-20 07:44:43 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-515 models exported from TIMM in total.
+516 models exported from TIMM in total.
 
 ## Beit
 
@@ -657,7 +657,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## RegNet
 
-29 models with model class `RegNet`.
+30 models with model class `RegNet`.
 
 | Name                                                                                         | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture   | Created At   |
 |:---------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:---------------|:-------------|
@@ -689,6 +689,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [regnetx_008.pycls_in1k](https://huggingface.co/timm/regnetx_008.pycls_in1k)                 | 7.2M     | 799.7M  |          224 | True           |        672 |      1000 | imagenet-1k  | RegNet  | regnetx_008    | 2023-03-21   |
 | [regnety_006.pycls_in1k](https://huggingface.co/timm/regnety_006.pycls_in1k)                 | 6.0M     | 601.3M  |          224 | True           |        608 |      1000 | imagenet-1k  | RegNet  | regnety_006    | 2023-03-21   |
 | [regnety_004.pycls_in1k](https://huggingface.co/timm/regnety_004.pycls_in1k)                 | 4.3M     | 401.9M  |          224 | True           |        440 |      1000 | imagenet-1k  | RegNet  | regnety_004    | 2023-03-21   |
+| [regnetx_004.pycls_in1k](https://huggingface.co/timm/regnetx_004.pycls_in1k)                 | 5.1M     | 397.7M  |          224 | True           |        384 |      1000 | imagenet-1k  | RegNet  | regnetx_004    | 2023-03-21   |
 | [regnetx_002.pycls_in1k](https://huggingface.co/timm/regnetx_002.pycls_in1k)                 | 2.7M     | 199.1M  |          224 | True           |        368 |      1000 | imagenet-1k  | RegNet  | regnetx_002    | 2023-03-21   |
 
 ## RepGhostNet

models.parquet

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regnetx_004.pycls_in1k/meta.json

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